School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 100102, China.
Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
Sci Rep. 2017 Aug 30;7(1):9971. doi: 10.1038/s41598-017-10313-1.
A rapid and sensitive approach to differentiate sulfur-fumigated (SF) Ophiopogonis Radix based on Multi-Omics Correlation Analysis (MOCA) strategy was first established. It was characterized by multiple data-acquisition methods (NIR, HPLC, and UHPLC-HRMS) based metabonomics and multivariate statistical analysis methods. As a result, SF and non-sulfur fumigated (NSF) Ophiopogonis Radix samples were efficaciously discriminated. Moreover, based on the acquired HRMS data, 38 sulfur-containing discriminatory markers were eventually characterized, whose NIR absorption could be in close correlation with the discriminatory NIR wavebands (5000-5200 cm) screened by NIR metabonomics coupled with SiPLS and 2D-COS methods. This results were also validated from multiple perspectives, including metabonomics analysis based on the discriminatory markers and the simulation of SF ophiopogonin D and Ophiopogonis Radix sample. In conclusion, our results first revealed the intrinsic mechanism of discriminatory NIR wavebands by means of UHPLC-HRMS analysis. Meanwhile, the established MOCA strategy also provided a promising NIR based differential method for SF Ophiopogonis Radix, which could be exemplary for future researches on rapid discrimination of other SF Chinese herbal medicines.
首次建立了一种基于多组学关联分析(MOCA)策略快速灵敏地区分硫磺熏蒸(SF)麦冬根的方法。它的特点是基于代谢组学和多元统计分析方法的多种数据采集方法(NIR、HPLC 和 UHPLC-HRMS)。结果,有效地区分了 SF 和非硫磺熏蒸(NSF)麦冬根样品。此外,基于获得的 HRMS 数据,最终确定了 38 种含硫鉴别标志物,其 NIR 吸收与 NIR 代谢组学结合 SiPLS 和 2D-COS 方法筛选出的有鉴别力的 NIR 波段(5000-5200 cm)密切相关。这一结果还从多个角度进行了验证,包括基于鉴别标志物的代谢组学分析和 SF 麦冬苷 D 和麦冬根样品的模拟。总之,我们的结果首次通过 UHPLC-HRMS 分析揭示了有鉴别力的 NIR 波段的内在机制。同时,所建立的 MOCA 策略还为 SF 麦冬根的快速 NIR 差异方法提供了一种有前景的方法,可为未来快速鉴别其他 SF 中草药的研究提供范例。